Clinical and hemodynamic characteristics of patients with intermediate coronary lesions selected for elective percutaneous coronary intervention
Bibliographic record
Abstract
The aim – to identify clinical, angiographic and hemodynamic factors, having impact upon the decision on percutaneous coronary intervention (PCI) in stable coronary artery disease (SCAD) patients with intermediate subepicardial coronary lesions, in clinical settings. Materials and methods. The cross-sectional single-center study analyzed clinical and instrumental data from 123 SCAD patients (mean age 62 ± 9 years; 90 (73.2 %) males) and intermediate (50–90 %) stenotic subepicardial coronary lesions (by invasive coronary angiography [ICA]). The enrolled sample included 74 (60.2 %) patients with an assessment of ICA-derived fractional flow reserve (FFR). The studied parameters were analyzed in the groups of decision not to perform (PCI(–); n = 30 [24.4 %]) and to perform PCI (PCI(+); n = 93 [75.6 %]). Results. The positive decision on PCI was more frequent in patients with stable angina ІII and ІI CCS class, as compared to those without angina (93 %, 79 % і 46 %, respectively; рtrend < 0.001). PCI was considered to be appropriate in all patients with FFR < 0.8 (46 of 74 (62 %) cases). The more advanced hemodynamic compromise of coronary lesions was associated with the higher maximum degree of coronary artery stenosis. Multivariable logistic regression analysis revealed a more pronounced coronary stenosis (at least, in one subepicardial coronary artery territory) was independently associated with the PCI(+) decision (stenosis 80–90 % vs. 70–79 %; 70–79 % vs. 60–69 %; 60–69 % vs. 50–59 %: odds ratio 26 (95 % confidence interval 8–87); р < 0.001). Conclusions. A degree of coronary artery stenosis was a key factor impacting upon a positive decision on PCI in SCAD patients with intermediate (50–90 %) coronary lesions. There is a need for the broader implementation of non-invasive diagnostic tests and the tools for a quantitative assessment of myocardial ischemia in patients with intermediate pretest probability of coronary stenosis, including those with previous PCI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".